Member of Technical Staff, Data Platform
New York, New York · New York, United States
- Pay
$140,000–260,000/year · BaseAnnual period assumed — pay source
This is an on-site role based in our NYC office, designed for builders who thrive on speed, iteration, and meaningful impact. We are happy to support visa sponsorship for qualified international candidates. For this role, the expected base salary range is $140,000 to $260,000 (NYC). Comp may vary by location. Profound’s total compensation package is designed to be competitive and includes base salary, equity, and a full range of benefits and perks. Final compensation will depend on factors such as your skills, experience, qualifications, and location, and will be determined during the interview process. Our recruiting team will share more details about the full compensation package and benefits as you move through hiring. #LI-PRO
Read the full posting- Work setting
On-site stated — work setting source
Location This is an on-site role based in our NYC office, designed for builders who thrive on speed, iteration, and meaningful impact. We are happy to support visa sponsorship for qualified international candidates. For this role, the expected base salary range is $140,000 to $260,000 (NYC). Comp may vary by location. Profound’s total compensation package is designed to be competitive and includes base salary, equity, and a full range of benefits and perks. Final compensation will depend on factors such as your skills, experience, qualifications, and location, and will be determined during the interview process. Our recruiting team will share more details about the full compensation package and benefits as you move through hiring.
Location type: On-site
From the employer’s posting- Employment
Full-time — employment source
Employment type: Full-time
From the employer’s posting- Team
Data — team source
Department: Data
From the employer’s posting
Before you apply
- Sponsorship
Visa sponsorship not confirmed — sponsorship source
This is an on-site role based in our NYC office, designed for builders who thrive on speed, iteration, and meaningful impact. We are happy to support visa sponsorship for qualified international candidates.
Read the full posting
What you’ll work on
Full postingDesign and build platform infrastructure for ML, analytics, and engineering teams
Develop tools for data ingestion, transformation, quality, and observability
Architect scalable, reliable systems on Snowflake, ClickHouse, AWS, dbt, and Dagster
Build governance, access control, and data quality systems that scale
Create infrastructure that supports model development and productionization
From the employer’s posting
Design and build platform infrastructure that supports machine learning, analytics, and software engineers
Develop tools and frameworks for data ingestion, transformation, quality, and observability
Architect scalable, reliable systems using Snowflake, Clickhouse, AWS, dbt, and Dagster
Build governance, access control, and data quality systems that scale with the organization
Enable MLOps by creating infrastructure that supports model development and productionization
What you’ll bring
All qualificationsCore experience
- Proven experience building platforms for engineers and data scientists in areas such as product analytics and experimentation, data discovery and catalog, data quality and observability, or governance and access control
- Experience designing and operating large-scale distributed data systems
- Expertise with analytics and lakehouse technologies including ClickHouse, Tinybird, Snowflake, or Iceberg
- Experience with data governance, reliability, and secure data operations
- Excellent communication skills with the ability to influence across engineering and product teams
- Experience with or interest in MLOps and supporting machine learning workflows in production
Qualification wording
Proven experience building platforms for engineers and data scientists in areas such as product analytics and experimentation, data discovery and catalog, data quality and observability, or governance and access control
Experience designing and operating large-scale distributed data systems
Expertise with analytics and lakehouse technologies including ClickHouse, Tinybird, Snowflake, or Iceberg
Experience with data governance, reliability, and secure data operations
Excellent communication skills with the ability to influence across engineering and product teams
Experience with or interest in MLOps and supporting machine learning workflows in production
Tools in this posting
- AWS
- Azure
- ClickHouse
- dbt
- GCP
- Iceberg
- MongoDB
- Snowflake
- Dagster
Source — Tool mentions in context
- Develop tools and frameworks for data ingestion, transformation, quality, and observability - Architect scalable, reliable systems using Snowflake, Clickhouse, AWS, dbt, and Dagster - Build governance, access control, and data quality systems that scale with the organization
- Expertise with analytics and lakehouse technologies including ClickHouse, Tinybird, Snowflake, or Iceberg - Strong cloud experience with AWS, GCP, or Azure - Experience with data governance, reliability, and secure data operations
- Experience designing and operating large-scale distributed data systems - Expertise with analytics and lakehouse technologies including ClickHouse, Tinybird, Snowflake, or Iceberg - Strong cloud experience with AWS, GCP, or Azure
Profound is the fastest-growing AI marketing platform, used by 15% of the Fortune 500 including Comcast, Estée Lauder, and Walmart, and innovators like Ramp, MongoDB, and Figma. It is where marketing teams do the work: research, briefs, content, campaigns, reporting, all in one place, alongside agents that carry the load with them. Built on 2B+ real user prompts and growing, Profound’s data shows you what people ask AI and what the models say back. Profound's AI Marketer joins that data with deep context about our customers to find the opportunities worth acting on, and then puts agents to work: automating reporting, drafting content, auditing pages for readability, running competitive research. It measures what works and gets better every day.
Posting record
Report an errorOpen 4 monthsWe first saw this listing 121 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- Jun 23, 2026 · 121 days ago
- Recorded sightings
- 156
- Last seen by us
- Oct 23, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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- Check the listed location, eligibility and core experience before starting.
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Job description
Profound is the fastest-growing AI marketing platform, used by 15% of the Fortune 500 including Comcast, Estée Lauder, and Walmart, and innovators like Ramp, MongoDB, and Figma. It is where marketing teams do the work: research, briefs, content, campaigns, reporting, all in one place, alongside agents that carry the load with them.
Built on 2B+ real user prompts and growing, Profound’s data shows you what people ask AI and what the models say back. Profound's AI Marketer joins that data with deep context about our customers to find the opportunities worth acting on, and then puts agents to work: automating reporting, drafting content, auditing pages for readability, running competitive research. It measures what works and gets better every day.
Profound is on a mission to help companies understand and control their AI presence. We are looking for a Software Engineer, Data Platform to design, build, and scale the infrastructure that powers data across our organization.
You will architect scalable platforms and develop tools and frameworks that enable data scientists, analytics engineers, and machine learning engineers, while building the foundation for analytics, experimentation, and ML-powered features. This is a great opportunity for someone who enjoys building robust systems, solving complex technical challenges, and enabling teams through great platform design.
What you’ll do
Design and build platform infrastructure that supports machine learning, analytics, and software engineers, as well as data scientists across the company
Develop tools and frameworks for data ingestion, transformation, quality, and observability
Architect scalable, reliable systems using Snowflake, Clickhouse, AWS, dbt, and Dagster
Build governance, access control, and data quality systems that scale with the organization
Enable MLOps by creating infrastructure that supports model development and productionization
Drive technical decisions around platform architecture, tool selection, and data patterns
Collaborate with product, engineering, and data teams to understand needs and deliver impactful solutions
Who you are
Proven experience building platforms for engineers and data scientists in areas such as product analytics and experimentation, data discovery and catalog, data quality and observability, or governance and access control
Experience designing and operating large-scale distributed data systems
Expertise with analytics and lakehouse technologies including ClickHouse, Tinybird, Snowflake, or Iceberg
Strong cloud experience with AWS, GCP, or Azure
Experience with data governance, reliability, and secure data operations
Excellent communication skills with the ability to influence across engineering and product teams
Experience with or interest in MLOps and supporting machine learning workflows in production
Strong problem-solving skills and comfort operating in a fast-paced, impact-driven environment
Motivated by access to rare and interesting AI data based on real human interactions with large language models
Excited by the opportunity to own and shape Profound’s data platform at an early stage
Interested in working on meaningful problems at the intersection of AI and marketing
Comfortable in a fast-moving culture with autonomy, trust, and room to grow
Drawn to competitive compensation and meaningful equity
Location
This is an on-site role based in our NYC office, designed for builders who thrive on speed, iteration, and meaningful impact. We are happy to support visa sponsorship for qualified international candidates.
For this role, the expected base salary range is $140,000 to $260,000 (NYC). Comp may vary by location. Profound’s total compensation package is designed to be competitive and includes base salary, equity, and a full range of benefits and perks. Final compensation will depend on factors such as your skills, experience, qualifications, and location, and will be determined during the interview process. Our recruiting team will share more details about the full compensation package and benefits as you move through hiring.
#LI-PRO
Note: All official communication from Profound will come from a @tryprofound.com email address. If you're contacted by anyone using a different domain, please disregard and report it as spam.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
This is an on-site role based in our NYC office, designed for builders who thrive on speed, iteration, and meaningful impact. We are happy to support visa sponsorship for qualified international candidates. For this role, the expected base salary range is $140,000 to $260,000 (NYC). Comp may vary by location. Profound’s total compensation package is designed to be competitive and includes base salary, equity, and a full range of benefits and perks. Final compensation will depend on factors such as your skills, experience, qualifications, and location, and will be determined during the interview process. Our recruiting team will share more details about the full compensation package and benefits as you move through hiring. #LI-PRO
- Location & working pattern
New York, United States
Location This is an on-site role based in our NYC office, designed for builders who thrive on speed, iteration, and meaningful impact. We are happy to support visa sponsorship for qualified international candidates. For this role, the expected base salary range is $140,000 to $260,000 (NYC). Comp may vary by location. Profound’s total compensation package is designed to be competitive and includes base salary, equity, and a full range of benefits and perks. Final compensation will depend on factors such as your skills, experience, qualifications, and location, and will be determined during the interview process. Our recruiting team will share more details about the full compensation package and benefits as you move through hiring.
- Work authorization
Location This is an on-site role based in our NYC office, designed for builders who thrive on speed, iteration, and meaningful impact. We are happy to support visa sponsorship for qualified international candidates. For this role, the expected base salary range is $140,000 to $260,000 (NYC). Comp may vary by location. Profound’s total compensation package is designed to be competitive and includes base salary, equity, and a full range of benefits and perks. Final compensation will depend on factors such as your skills, experience, qualifications, and location, and will be determined during the interview process. Our recruiting team will share more details about the full compensation package and benefits as you move through hiring.
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